The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet

[1]  Dr. Charu C. Aggarwal Machine Learning for Text , 2018, Springer International Publishing.

[2]  Igor V. Kotenko,et al.  Categorisation of web pages for protection against inappropriate content in the internet , 2017, Int. J. Internet Protoc. Technol..

[3]  Shanshan Zhang,et al.  A Survey on Information Diffusion in Online Social Networks: Models and Methods , 2017, Inf..

[4]  Ronen Feldman,et al.  Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger , 2008, CL.

[5]  Andrey Fedorchenko,et al.  An Approach to Intelligent Distributed Scanning and Analytical Processing of the Internet Inappropriate Information , 2019, 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

[6]  Adrian Iftene,et al.  Identifying Fake News and Fake Users on Twitter , 2018, KES.

[7]  Linda R. Waugh The Poetic Function in the Theory of Roman Jakobson , 1980 .

[8]  Igor V. Kotenko,et al.  Evaluation of text classification techniques for inappropriate web content blocking , 2015, 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

[9]  Charu C. Aggarwal,et al.  Feature Selection for Classification: A Review , 2014, Data Classification: Algorithms and Applications.

[10]  J. Alex Halderman,et al.  A Search Engine Backed by Internet-Wide Scanning , 2015, CCS.

[11]  Thanh Tran,et al.  Uncovering Fake Likers in Online Social Networks , 2016, CIKM.

[12]  Panagiotis Takis Metaxas,et al.  The Fake News Spreading Plague: Was it Preventable? , 2017, WebSci.

[13]  Nello Cristianini,et al.  Classification using String Kernels , 2000 .

[14]  Igor V. Kotenko,et al.  Improving the Categorization of Web Sites by Analysis of Html-Tags Statistics to Block Inappropriate Content , 2015, IDC.

[15]  Olga Tushkanova,et al.  Comparative Analysis of the Numerical Measures for Mining Associative and Causal Relationships in Big Data , 2015 .

[16]  Brian D. Davison,et al.  Web page classification: Features and algorithms , 2009, CSUR.

[17]  Jun Zhao,et al.  Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.

[18]  Lawrence K. Saul,et al.  Beyond blacklists: learning to detect malicious web sites from suspicious URLs , 2009, KDD.

[19]  Igor Saenko,et al.  An Approach to Creating an Intelligent System for Detecting and Countering Inappropriate Information on the Internet , 2019, IDC.

[20]  Youssef Iraqi,et al.  Enhancing Phishing E-Mail Classifiers: A Lexical URL Analysis Approach , 2013 .

[21]  Suhang Wang,et al.  Fake News Detection on Social Media: A Data Mining Perspective , 2017, SKDD.

[22]  Yimin Chen,et al.  Automatic deception detection: Methods for finding fake news , 2015, ASIST.

[23]  Xiang Zhang,et al.  Character-level Convolutional Networks for Text Classification , 2015, NIPS.

[24]  Daphney-Stavroula Zois,et al.  Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media , 2019, WWW.

[25]  Tomas Mikolov,et al.  Enriching Word Vectors with Subword Information , 2016, TACL.

[26]  Muhammad Nihal Hussain,et al.  Leveraging Social Network Analysis and Cyber Forensics Approaches to Study Cyber Propaganda Campaigns , 2018, Lecture Notes in Social Networks.

[27]  Sebastian Tschiatschek,et al.  Fake News Detection in Social Networks via Crowd Signals , 2017, WWW.

[28]  Sebastian Thrun,et al.  Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.